Mac mini (Late 2020)
Geekbench AI Score
4595
Single Precision Score
4666
Half Precision Score
4188
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | August 17 2024 01:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
99% |
1903
355.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3537
57.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3455
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16851
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18355
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16454
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2557
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
2541
201.6 IPS |
|
|
Object Detection (Q)
|
92% |
2054
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
6115
72.7 IPS |
|
|
Face Detection (HP)
|
100% |
7793
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
5349
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11910
91.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13540
104.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13349
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28875
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35422
45.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34556
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6306
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5544
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
470
626.8 IPS |
|
|
Text Classification (Q)
|
93% |
467
627.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1123
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1172
20.2 IPS |
